Name
Abstract | ||
|---|---|---|
Joint manipulation and object exchange are common in many everyday scenarios. Although they are trivial tasks for humans, they are still very challenging for robots. Existing approaches for robot-to-human object handover assume that there is no fault during the transfer. However, unintentional perturbation forces can be occasionally applied to the object, resulting in the robot and the object being damaged, for example by being dropped. In this paper we present a novel approach to handover objects in a reliable manner while ensuring the safety of the robot and the object. Relying on tactile sensing, the system uses an effort controller to adapt the grasp forces in the presence of perturbations. Moreover, the proposed approach identifies a perturbation being applied on the object. When a perturbation event is detected, the algorithm classifies the direction of the pulling forces to decide whether to release it or not. The reliable handover system was implemented using a Shadow Robot hand equipped with BioTAC tactile sensors. Our results show that the system correctly adapts to the forces applied on the object to maintain the grasp and only releases the object if the human receiver pulls in the right direction. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s10514-018-09823-2 | Autonomous Robots |
Keywords | Field | DocType |
Reliable object handovers,Robotic handovers,Tactile sensing,Dexterous robot | Shadow,Computer vision,Robot hand,Control theory,GRASP,Computer science,OBject EXchange,Artificial intelligence,Robot,Handover,Tactile sensor | Journal |
Volume | Issue | ISSN |
43 | 7 | 1573-7527 |
Citations | PageRank | References |
3 | 0.38 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Augusto Gomez Eguiluz | 1 | 11 | 5.09 |
| I. Rañó | 2 | 49 | 9.53 |
| S. A. Coleman | 3 | 40 | 8.50 |
| T. M. McGinnity | 4 | 3 | 0.38 |